Applications Of Unsupervised Learning
Key Data Mining Techniques to Implement 
Data mining is a critical aspect
of business analytics that involves extracting useful information from large datasets
...Classification Classification is a supervised
learning technique used to categorize data into predefined classes or groups
...Support Vector Machines (SVM) Naive Bayes K-Nearest Neighbors (KNN) Classification is widely used in various
applications, such as fraud detection, customer segmentation, and risk management
...Clustering Clustering is an
unsupervised learning technique that groups similar data points into clusters based on their features
...
Analyzing Textual Feedback Analyzing this feedback is crucial for businesses aiming to improve their
offerings, enhance customer satisfaction, and drive strategic decisions
...of Analyzing Textual Feedback There are several methods for analyzing textual feedback, each with its own advantages and
applications: 1
...Techniques include: Supervised
Learning: Using labeled datasets to train algorithms to classify new data
...Unsupervised Learning: Discovering hidden patterns in data without labeled outcomes
...
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